Mobile-enabled health technologies let individuals obtain clinical guidance and assessments without an in-person visit and give public health agencies a powerful channel for distributing programmes throughout a community. This study investigates how users’ motivation to avoid perceived threats interacts with their attitudes to shape intentions to adopt mobile-health (mHealth) apps. To capture both acceptance and avoidance dynamics, the research unites the Technology Acceptance Model (TAM) with Technology Threat Avoidance Theory (TTAT). In the integrated framework, threat- and coping-appraisal processes feed avoidance motivation, whereas perceived ease of use and perceived usefulness foster a favourable attitude. The hypothesised paths are assessed with Partial Least Squares Structural Equation Modelling (PLS-SEM). By highlighting the most influential mHealth determinants from the perspective of key stakeholders, the findings offer actionable guidance for practitioners and policymakers overseeing mHealth roll-outs.
Articles
40th Edition of DTR Oct 2023 – Mar 2024
The Study of Factors Influencing the Adoption of mHealth Applications among the Consumers of HealthServices
225 Views
125 Downloads
Published 2023-10-30
Pages 25-35
Abstract
Keywords
mHealth
TAMTTAT
Self-efficacy
Adoption intention
References
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